MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2416
Single Precision Score
16716
Half Precision Score
17718
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tellumo |
| Upload Date | August 17 2024 04:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
7531
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
8217
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6689
108.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
6692
108.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8497
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
103939
121.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
102594
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
100% |
9811
778.3 IPS |
|
|
Object Detection (Q)
|
93% |
10487
836.8 IPS |
|
|
Face Detection (SP)
|
100% |
2466
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
13505
160.5 IPS |
|
|
Face Detection (Q)
|
100% |
15944
189.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4486
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58677
452.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
63271
489.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12453
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
152508
196.1 IPS |
|
|
Style Transfer (Q)
|
100% |
152575
196.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21166
781.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26491
981.5 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.7 IPS |
|
|
Text Classification (HP)
|
100% |
4645
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4562
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2771
47.9 IPS |
